MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4178
Single Precision Score
30392
Half Precision Score
33957
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 12:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
16236
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
18743
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22248
360.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27303
442.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8985
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121337
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
119865
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
17489
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
19876
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3774
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
37781
448.9 IPS |
|
|
Face Detection (Q)
|
100% |
44748
531.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7256
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96942
746.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
121001
946.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22336
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
224596
288.7 IPS |
|
|
Style Transfer (Q)
|
96% |
221486
285.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5169
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46293
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58311
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2827
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4964
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4940
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3683
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4641
79.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4841
83.7 IPS |
