MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3936
Single Precision Score
5556
Half Precision Score
4575
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | KwisatzJim |
| Upload Date | August 17 2024 12:19 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
2123
394.8 IPS |
|
|
Image Classification (Q)
|
99% |
2116
394.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1490
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8608
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17074
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14533
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
97% |
2581
205.5 IPS |
|
|
Object Detection (Q)
|
94% |
1955
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
3320
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
4956
58.9 IPS |
|
|
Face Detection (Q)
|
100% |
3359
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6714
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9618
74.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4644
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21042
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31439
40.4 IPS |
|
|
Style Transfer (Q)
|
100% |
31311
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6098
225.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4280
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
2801
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4581
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4519
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3249
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4823
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4755
82.2 IPS |
