MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3914
Single Precision Score
29313
Half Precision Score
33072
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ascarter |
| Upload Date | October 19 2025 08:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 3.82 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
14722
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
17234
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1846
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22542
365.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27145
440.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8192
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
109058
127.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
108439
127.1 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
100% |
16641
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
20328
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
39891
474.0 IPS |
|
|
Face Detection (Q)
|
100% |
52448
623.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6864
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
89147
686.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
101301
792.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21365
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
215584
277.1 IPS |
|
|
Style Transfer (Q)
|
96% |
213415
275.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4802
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40239
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50988
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3040
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5154
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5170
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4892
84.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5079
87.8 IPS |
