MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
12171
Single Precision Score
13937
Half Precision Score
12879
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 10 2025 06:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.04 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5862
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
6338
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5666
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9498
154.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10261
166.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9836
159.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
35092
40.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
36105
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34908
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
5915
469.2 IPS |
|
|
Object Detection (HP)
|
100% |
6233
494.4 IPS |
|
|
Object Detection (Q)
|
92% |
5709
455.7 IPS |
|
|
Face Detection (SP)
|
100% |
16382
194.7 IPS |
|
|
Face Detection (HP)
|
100% |
20554
244.2 IPS |
|
|
Face Detection (Q)
|
100% |
16088
191.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24378
187.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25688
197.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
23892
186.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78847
101.4 IPS |
|
|
Style Transfer (HP)
|
100% |
87004
111.8 IPS |
|
|
Style Transfer (Q)
|
96% |
83909
108.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14692
542.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15685
579.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13587
501.7 IPS |
|
|
Text Classification (SP)
|
100% |
2875
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5186
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5149
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4643
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5057
87.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5011
86.6 IPS |
