MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4693
Single Precision Score
29618
Half Precision Score
33110
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 02:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 4.03 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (HP)
|
100% |
16495
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
17811
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21826
353.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27410
444.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16300
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
119207
139.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
118145
138.5 IPS |
|
|
Object Detection (SP)
|
100% |
1921
152.4 IPS |
|
|
Object Detection (HP)
|
100% |
16490
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
16782
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3918
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
37536
446.0 IPS |
|
|
Face Detection (Q)
|
100% |
48367
574.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7086
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100858
777.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
122612
958.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30316
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
221578
284.8 IPS |
|
|
Style Transfer (Q)
|
96% |
209984
271.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5587
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37907
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52238
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2750
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4770
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4830
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4695
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4840
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5207
90.0 IPS |
