MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4001
Single Precision Score
6876
Half Precision Score
5572
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | June 10 2025 06:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1547
287.7 IPS |
|
|
Image Classification (HP)
|
100% |
2903
539.9 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3194
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8493
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
17145
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14747
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1802
142.9 IPS |
|
|
Object Detection (HP)
|
97% |
3109
247.5 IPS |
|
|
Object Detection (Q)
|
94% |
2309
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
6414
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
3824
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6996
53.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12510
96.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8788
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21661
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33961
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27996
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5167
190.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6106
225.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4378
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5338
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5334
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3184
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6052
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5992
103.5 IPS |
