MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4370
Single Precision Score
30577
Half Precision Score
33286
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tonivillen |
| Upload Date | March 24 2025 04:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1495
278.0 IPS |
|
|
Image Classification (HP)
|
100% |
16432
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
17086
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21854
354.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27291
442.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16799
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120440
140.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
118235
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
1978
156.9 IPS |
|
|
Object Detection (HP)
|
100% |
16296
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
16583
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
4042
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
36798
437.2 IPS |
|
|
Face Detection (Q)
|
100% |
48318
574.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7415
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
101252
780.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
113634
888.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30210
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
219318
281.9 IPS |
|
|
Style Transfer (Q)
|
96% |
209131
269.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5939
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37391
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48600
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2680
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4833
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4715
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6865
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6942
120.0 IPS |
