MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4771
Single Precision Score
29388
Half Precision Score
31925
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HoukCC |
| Upload Date | December 04 2024 12:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1490
277.1 IPS |
|
|
Image Classification (HP)
|
100% |
16259
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
16716
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21721
352.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27058
438.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16721
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
119931
139.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
118338
138.7 IPS |
|
|
Object Detection (SP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (HP)
|
100% |
16350
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
16355
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
4023
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
37821
449.4 IPS |
|
|
Face Detection (Q)
|
100% |
47108
559.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7354
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101242
780.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
114755
897.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30706
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
219764
282.5 IPS |
|
|
Style Transfer (Q)
|
96% |
209388
270.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5896
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37488
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50258
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4544
6.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4599
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4749
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4842
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4803
83.0 IPS |
