Mac Studio (2023)
Geekbench ML Score
9174
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:11 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.67 GHz |
| Cluster 1 | 8 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 | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6116
1.14 KIPS |
|
|
Image Classification (F16)
|
100% |
6039
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
5503
1.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2412
40.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2395
40.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2362
39.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
73739
89.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
78302
94.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
75927
91.9 IPS |
|
|
Object Detection (F32)
|
100% |
4245
316.9 IPS |
|
|
Object Detection (F16)
|
100% |
4448
332.1 IPS |
|
|
Object Detection (I8)
|
97% |
4159
310.5 IPS |
|
|
Face Detection (F32)
|
100% |
21303
253.3 IPS |
|
|
Face Detection (F16)
|
98% |
22239
264.4 IPS |
|
|
Face Detection (I8)
|
97% |
19985
237.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
31155
241.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
31654
245.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
30663
237.8 IPS |
|
|
Style Transfer (F32)
|
100% |
124577
163.9 IPS |
|
|
Style Transfer (F16)
|
100% |
135463
178.2 IPS |
|
|
Style Transfer (I8)
|
100% |
136302
179.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18560
662.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16292
581.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14329
511.7 IPS |
|
|
Text Classification (F32)
|
100% |
548
787.8 IPS |
|
|
Text Classification (F16)
|
100% |
681
978.4 IPS |
|
|
Text Classification (I8)
|
96% |
568
816.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1081
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1104
20.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1093
20.1 IPS |
