MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4798
Single Precision Score
29963
Half Precision Score
33109
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | April 21 2025 09:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
15785
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
18268
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21656
351.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27257
441.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16665
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119192
139.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
117574
137.8 IPS |
|
|
Object Detection (SP)
|
100% |
1947
154.5 IPS |
|
|
Object Detection (HP)
|
100% |
17583
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
16614
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
37499
445.6 IPS |
|
|
Face Detection (Q)
|
100% |
49736
591.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7093
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99970
770.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
114415
894.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30334
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
215485
277.0 IPS |
|
|
Style Transfer (Q)
|
96% |
209906
270.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5721
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37470
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53046
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3101
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4812
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4770
82.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4898
84.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5338
92.2 IPS |
