MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4190
Single Precision Score
6952
Half Precision Score
5597
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 09:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 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% |
1596
296.9 IPS |
|
|
Image Classification (HP)
|
100% |
2792
519.2 IPS |
|
|
Image Classification (Q)
|
96% |
1931
360.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3030
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3348
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8914
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17273
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14895
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
97% |
3221
256.4 IPS |
|
|
Object Detection (Q)
|
94% |
2297
183.1 IPS |
|
|
Face Detection (SP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
6670
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3969
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7266
56.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13418
103.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9186
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22464
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33601
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27703
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5864
216.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4287
158.3 IPS |
|
|
Text Classification (SP)
|
100% |
2816
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4897
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4878
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3634
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6497
112.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6461
111.7 IPS |
