MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4772
Single Precision Score
7420
Half Precision Score
5990
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | MegumiKatou |
| Upload Date | May 20 2025 02:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.7 IPS |
|
|
Image Classification (HP)
|
100% |
2432
452.3 IPS |
|
|
Image Classification (Q)
|
96% |
1820
339.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2726
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3291
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16625
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27758
32.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21645
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1928
152.9 IPS |
|
|
Object Detection (HP)
|
97% |
2823
224.8 IPS |
|
|
Object Detection (Q)
|
94% |
2135
170.1 IPS |
|
|
Face Detection (SP)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
6356
75.5 IPS |
|
|
Face Detection (Q)
|
100% |
3840
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7082
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12227
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8619
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30241
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41141
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33155
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5686
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7691
284.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5373
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5265
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4782
82.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7372
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7346
126.9 IPS |
