MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4731
Single Precision Score
22675
Half Precision Score
26019
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 28 2025 01:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.65 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (HP)
|
100% |
9086
1.69 KIPS |
|
|
Image Classification (Q)
|
97% |
10847
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18636
302.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26804
434.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15238
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
85872
100.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
85152
99.8 IPS |
|
|
Object Detection (SP)
|
100% |
1897
150.5 IPS |
|
|
Object Detection (HP)
|
100% |
14149
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
14193
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4080
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
28193
335.0 IPS |
|
|
Face Detection (Q)
|
100% |
41674
495.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7152
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
89704
691.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
102967
805.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30764
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
162109
208.4 IPS |
|
|
Style Transfer (Q)
|
96% |
157174
202.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27367
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38698
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
5050
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4997
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3083
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3104
53.6 IPS |
