MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4158
Single Precision Score
31025
Half Precision Score
34744
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Galleywest59 |
| Upload Date | April 08 2025 10:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1626
302.4 IPS |
|
|
Image Classification (HP)
|
100% |
16998
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
18444
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22143
359.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27956
453.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9011
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120618
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
120171
140.8 IPS |
|
|
Object Detection (SP)
|
100% |
1811
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
17880
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
19939
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3808
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
39488
469.2 IPS |
|
|
Face Detection (Q)
|
100% |
51882
616.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7158
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97335
749.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
121460
949.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22315
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
227018
291.8 IPS |
|
|
Style Transfer (Q)
|
96% |
221031
285.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5249
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47477
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58259
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2850
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5059
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5010
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3447
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5104
88.2 IPS |
