MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4156
Single Precision Score
29993
Half Precision Score
33646
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | unknownplatform |
| Upload Date | August 31 2025 09:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
1600
297.6 IPS |
|
|
Image Classification (HP)
|
100% |
15161
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
16774
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22303
361.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
28164
456.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8933
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121564
141.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
119964
140.6 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.4 IPS |
|
|
Object Detection (HP)
|
100% |
16767
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
19374
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
39361
467.7 IPS |
|
|
Face Detection (Q)
|
100% |
51695
614.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7173
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95120
732.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
118741
928.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22350
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
225222
289.5 IPS |
|
|
Style Transfer (Q)
|
96% |
219119
282.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5153
190.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43902
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53009
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
4805
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4727
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4806
82.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5025
86.8 IPS |
