MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4690
Single Precision Score
30064
Half Precision Score
32832
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | fhlipzero |
| Upload Date | October 20 2025 01:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1484
276.0 IPS |
|
|
Image Classification (HP)
|
100% |
14995
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
17564
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22151
359.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27964
453.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15722
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
119546
139.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
117907
138.2 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
100% |
16446
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
16855
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
38180
453.7 IPS |
|
|
Face Detection (Q)
|
100% |
50050
594.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7041
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99976
770.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
113566
887.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30668
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
223764
287.7 IPS |
|
|
Style Transfer (Q)
|
96% |
208245
268.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5532
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44495
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46942
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
5154
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5127
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4624
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4717
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5234
90.5 IPS |
