MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4332
Single Precision Score
7451
Half Precision Score
5967
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 08:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1507
280.3 IPS |
|
|
Image Classification (HP)
|
100% |
2412
448.5 IPS |
|
|
Image Classification (Q)
|
96% |
1807
337.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2724
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16801
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27701
32.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21569
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
1858
147.3 IPS |
|
|
Object Detection (HP)
|
97% |
2982
237.4 IPS |
|
|
Object Detection (Q)
|
94% |
2183
174.0 IPS |
|
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
6666
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3906
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7369
56.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12875
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8976
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30296
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41755
53.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32907
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7970
294.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5080
187.6 IPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4880
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4902
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1845
31.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6976
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6991
120.8 IPS |
