MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4038
Single Precision Score
6939
Half Precision Score
5639
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 06:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.52 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2754
512.1 IPS |
|
|
Image Classification (Q)
|
96% |
1937
361.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3153
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8882
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17419
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14967
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
97% |
3148
250.6 IPS |
|
|
Object Detection (Q)
|
94% |
2280
181.7 IPS |
|
|
Face Detection (SP)
|
100% |
3775
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
6647
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3842
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7121
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12715
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8930
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22274
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33031
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27594
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5709
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4169
153.9 IPS |
|
|
Text Classification (SP)
|
100% |
2753
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5190
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7624
131.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7618
131.6 IPS |
