MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4226
Single Precision Score
32636
Half Precision Score
37080
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 08:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
16465
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
19321
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22298
361.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27531
446.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8954
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122945
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
120376
141.1 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
17482
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20133
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
39085
464.4 IPS |
|
|
Face Detection (Q)
|
100% |
50946
605.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7257
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97087
748.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
121562
950.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22445
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
226620
291.3 IPS |
|
|
Style Transfer (Q)
|
96% |
221318
285.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5367
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44779
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54774
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2844
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4995
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4954
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9033
155.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10250
177.1 IPS |
