MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4037
Single Precision Score
7071
Half Precision Score
5763
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | tellumo |
| Upload Date | November 16 2025 06:24 PM |
| Views | 4 |
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, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.6 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.1 IPS |
|
|
Image Classification (Q)
|
96% |
2054
383.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2785
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3276
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8442
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
17478
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15042
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1705
135.2 IPS |
|
|
Object Detection (HP)
|
97% |
3198
254.6 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3695
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
6946
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4050
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7101
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12708
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9068
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21996
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33687
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28012
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4886
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5965
220.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4351
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5081
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5066
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7621
131.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7558
130.6 IPS |
