MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17623
Single Precision Score
18977
Half Precision Score
17168
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SPD298 |
| Upload Date | September 28 2024 11:34 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7118
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7919
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
6211
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15977
259.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16892
273.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17299
280.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
91071
106.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
94816
110.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
85242
99.9 IPS |
|
|
Object Detection (SP)
|
100% |
7179
569.5 IPS |
|
|
Object Detection (HP)
|
100% |
7572
600.6 IPS |
|
|
Object Detection (Q)
|
91% |
6681
533.8 IPS |
|
|
Face Detection (SP)
|
100% |
29230
347.3 IPS |
|
|
Face Detection (HP)
|
100% |
32416
385.2 IPS |
|
|
Face Detection (Q)
|
100% |
24520
291.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
37118
286.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
40504
312.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
33952
265.3 IPS |
|
|
Style Transfer (SP)
|
100% |
185747
238.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204635
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
185234
239.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25880
955.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25809
953.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19499
720.0 IPS |
|
|
Text Classification (SP)
|
100% |
2663
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4655
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4634
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2798
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2609
45.1 IPS |
