MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8204
Single Precision Score
9708
Half Precision Score
8507
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | noctilust |
| Upload Date | August 17 2024 07:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.04 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5518
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5784
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
5188
967.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7001
113.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8578
139.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
8229
133.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
34822
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
37151
43.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
34132
40.0 IPS |
|
|
Object Detection (SP)
|
100% |
5525
438.2 IPS |
|
|
Object Detection (HP)
|
100% |
5953
472.2 IPS |
|
|
Object Detection (Q)
|
92% |
4773
381.0 IPS |
|
|
Face Detection (SP)
|
100% |
15496
184.1 IPS |
|
|
Face Detection (HP)
|
100% |
18907
224.7 IPS |
|
|
Face Detection (Q)
|
100% |
13551
161.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24059
185.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26206
201.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
26076
201.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78123
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
87884
113.0 IPS |
|
|
Style Transfer (Q)
|
100% |
86506
111.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14456
533.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15902
587.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11796
437.0 IPS |
|
|
Text Classification (SP)
|
100% |
422
563.6 IPS |
|
|
Text Classification (HP)
|
100% |
888
1.19 KIPS |
|
|
Text Classification (Q)
|
93% |
583
782.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1358
23.5 IPS |
