250620 MacBook Pro M3 Pro 14 MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4187
Single Precision Score
30896
Half Precision Score
34996
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gethen |
| Upload Date | June 20 2025 10:49 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 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% |
1625
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
16464
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
19530
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22492
364.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
28185
456.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9018
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122525
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
120258
141.0 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
17509
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20728
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3736
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
38310
455.2 IPS |
|
|
Face Detection (Q)
|
100% |
51679
614.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7159
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98647
760.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
120852
944.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22295
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
228633
293.9 IPS |
|
|
Style Transfer (Q)
|
96% |
221393
285.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5331
196.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45411
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54943
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2875
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5128
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5136
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4959
85.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5148
89.0 IPS |
