MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4698
Single Precision Score
7761
Half Precision Score
6189
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | March 07 2026 07:36 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.06 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1482
275.6 IPS |
|
|
Image Classification (HP)
|
100% |
2596
482.8 IPS |
|
|
Image Classification (Q)
|
96% |
1888
352.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2746
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3423
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15767
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29870
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23341
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
1887
149.7 IPS |
|
|
Object Detection (HP)
|
97% |
2944
234.4 IPS |
|
|
Object Detection (Q)
|
94% |
2184
174.1 IPS |
|
|
Face Detection (SP)
|
100% |
3913
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
6844
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
4052
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7062
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13231
102.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8812
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30824
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
46706
60.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36607
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5532
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7533
278.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4972
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5109
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5079
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4700
81.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7770
134.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7583
131.1 IPS |
