MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4796
Single Precision Score
7470
Half Precision Score
6063
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 14 2025 01:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1504
279.8 IPS |
|
|
Image Classification (HP)
|
100% |
2458
457.2 IPS |
|
|
Image Classification (Q)
|
96% |
1819
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2698
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3311
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16644
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28648
33.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21850
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
1919
152.2 IPS |
|
|
Object Detection (HP)
|
97% |
2829
225.2 IPS |
|
|
Object Detection (Q)
|
94% |
2129
169.7 IPS |
|
|
Face Detection (SP)
|
100% |
3965
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
6398
76.0 IPS |
|
|
Face Detection (Q)
|
100% |
3908
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7182
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12729
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8844
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30374
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42268
54.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34513
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7846
289.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5062
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5064
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5329
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4811
82.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7361
127.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7450
128.7 IPS |
