MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4693
Single Precision Score
7623
Half Precision Score
6114
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | abudooboo |
| Upload Date | January 02 2026 09:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1481
275.5 IPS |
|
|
Image Classification (HP)
|
100% |
2493
463.5 IPS |
|
|
Image Classification (Q)
|
96% |
1860
347.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2715
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3323
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15788
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29942
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23401
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
1884
149.4 IPS |
|
|
Object Detection (HP)
|
97% |
2857
227.4 IPS |
|
|
Object Detection (Q)
|
94% |
2171
173.1 IPS |
|
|
Face Detection (SP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
6830
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
4043
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7209
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13285
102.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8644
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30972
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
45844
58.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36528
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5356
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7314
270.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4887
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
4983
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4931
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4676
80.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7550
130.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7561
130.7 IPS |
