MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4170
Single Precision Score
30115
Half Precision Score
33703
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | 18kjk |
| Upload Date | September 16 2025 09:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1591
295.9 IPS |
|
|
Image Classification (HP)
|
100% |
16322
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
17731
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21868
354.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27457
445.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8974
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121426
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
119928
140.6 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
17222
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19642
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3752
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
36925
438.7 IPS |
|
|
Face Detection (Q)
|
100% |
50106
595.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7244
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97966
754.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
120527
942.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22334
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
226091
290.6 IPS |
|
|
Style Transfer (Q)
|
96% |
219091
282.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5277
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44403
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53939
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2839
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4838
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4830
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4679
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4784
82.7 IPS |
