MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4795
Single Precision Score
29061
Half Precision Score
32219
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | November 06 2024 08:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1491
277.3 IPS |
|
|
Image Classification (HP)
|
100% |
15749
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
16915
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21118
342.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26831
435.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16700
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120093
140.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
118429
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1972
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
16336
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
16395
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
4049
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
37984
451.3 IPS |
|
|
Face Detection (Q)
|
100% |
47990
570.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7346
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100060
770.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
117845
921.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30851
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
217303
279.3 IPS |
|
|
Style Transfer (Q)
|
96% |
208911
269.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37270
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52285
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2678
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4544
6.07 KIPS |
|
|
Text Classification (Q)
|
93% |
4742
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4959
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4670
80.7 IPS |
