MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4671
Single Precision Score
7359
Half Precision Score
5935
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | July 22 2025 09:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G5074c) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1492
277.4 IPS |
|
|
Image Classification (HP)
|
100% |
2406
447.4 IPS |
|
|
Image Classification (Q)
|
96% |
1812
338.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2735
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3289
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16576
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
28287
33.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
21795
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1917
152.0 IPS |
|
|
Object Detection (HP)
|
97% |
2830
225.3 IPS |
|
|
Object Detection (Q)
|
94% |
2151
171.4 IPS |
|
|
Face Detection (SP)
|
100% |
3824
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
6311
75.0 IPS |
|
|
Face Detection (Q)
|
100% |
3847
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6938
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12514
96.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8870
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30095
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40946
52.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32995
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5740
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7931
292.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5078
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4709
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4696
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4672
80.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7327
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7233
125.0 IPS |
