MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4077
Single Precision Score
7198
Half Precision Score
5870
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 01 2025 09:08 PM |
| Views | 11 |
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 | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1560
290.1 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.2 IPS |
|
|
Image Classification (Q)
|
96% |
2073
387.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3409
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8380
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17472
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15193
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1731
137.3 IPS |
|
|
Object Detection (HP)
|
97% |
3254
259.1 IPS |
|
|
Object Detection (Q)
|
94% |
2397
191.0 IPS |
|
|
Face Detection (SP)
|
100% |
3717
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
7172
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
4226
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7148
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12937
100.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9148
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22090
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33806
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28348
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5762
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4379
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5091
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5011
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3378
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7880
136.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7850
135.7 IPS |
