MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4107
Single Precision Score
30982
Half Precision Score
34752
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 10 2025 06:29 AM |
| Views | 4 |
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, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1597
297.0 IPS |
|
|
Image Classification (HP)
|
100% |
17159
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
20272
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21984
356.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27657
448.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8954
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121249
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
120741
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (HP)
|
100% |
18040
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
20226
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3656
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
38533
457.9 IPS |
|
|
Face Detection (Q)
|
100% |
48677
578.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7127
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96615
744.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
120868
945.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22232
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
227164
292.0 IPS |
|
|
Style Transfer (Q)
|
96% |
217923
281.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5236
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46523
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55370
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2873
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5125
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5111
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4898
84.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5172
89.4 IPS |
