MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9991
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 02 2024 06:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6203
1.16 KIPS |
|
|
Image Classification (F16)
|
100% |
6805
1.27 KIPS |
|
|
Image Classification (I8)
|
99% |
6390
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2941
49.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3111
52.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2982
49.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
84209
102.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
87044
105.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
83615
101.3 IPS |
|
|
Object Detection (F32)
|
100% |
4708
351.5 IPS |
|
|
Object Detection (F16)
|
100% |
5209
388.9 IPS |
|
|
Object Detection (I8)
|
97% |
4977
371.5 IPS |
|
|
Face Detection (F32)
|
100% |
24982
297.0 IPS |
|
|
Face Detection (F16)
|
97% |
25073
298.1 IPS |
|
|
Face Detection (I8)
|
96% |
23142
275.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
35625
276.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
37657
292.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
35919
278.5 IPS |
|
|
Style Transfer (F32)
|
100% |
160943
211.7 IPS |
|
|
Style Transfer (F16)
|
100% |
174073
229.0 IPS |
|
|
Style Transfer (I8)
|
100% |
144986
190.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15593
556.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10126
361.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14672
524.0 IPS |
|
|
Text Classification (F32)
|
100% |
423
607.4 IPS |
|
|
Text Classification (F16)
|
100% |
806
1.16 KIPS |
|
|
Text Classification (I8)
|
96% |
726
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1065
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1052
19.4 IPS |
|
|
Machine Translation (I8)
|
99% |
972
17.9 IPS |
