MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3746
Single Precision Score
6858
Half Precision Score
5521
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | stuartcampbell |
| Upload Date | November 18 2025 11:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.99 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1433
266.4 IPS |
|
|
Image Classification (HP)
|
100% |
2872
534.2 IPS |
|
|
Image Classification (Q)
|
96% |
1953
364.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2826
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3166
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7841
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
16953
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14570
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
3103
247.0 IPS |
|
|
Object Detection (Q)
|
94% |
2278
181.6 IPS |
|
|
Face Detection (SP)
|
100% |
2941
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
6509
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3615
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6336
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12195
94.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8898
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21215
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33113
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27697
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4805
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5958
220.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4337
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5140
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5058
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6705
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6572
113.6 IPS |
