Apple M3Pro (16CoreNeural Engine) MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4149
Single Precision Score
30541
Half Precision Score
34739
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | WB_Mochi0 |
| Upload Date | September 06 2025 04:29 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1625
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
16371
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
18278
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22230
360.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27935
452.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9000
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120569
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
120269
141.0 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.1 IPS |
|
|
Object Detection (HP)
|
100% |
17396
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
19711
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3780
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
36984
439.4 IPS |
|
|
Face Detection (Q)
|
100% |
52589
624.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7144
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97537
751.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
123726
967.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22338
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
227301
292.2 IPS |
|
|
Style Transfer (Q)
|
96% |
217765
281.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5239
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45378
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57643
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2853
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5105
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5049
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4871
83.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5128
88.6 IPS |
