MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8548
Single Precision Score
9971
Half Precision Score
8851
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Zztony |
| Upload Date | August 26 2024 07:58 AM |
| Views | 2 |
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 | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5155
958.7 IPS |
|
|
Image Classification (HP)
|
100% |
5387
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
4740
884.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6669
108.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8321
134.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
8114
131.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
34815
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36902
43.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
33677
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
5389
427.4 IPS |
|
|
Object Detection (HP)
|
100% |
5633
446.8 IPS |
|
|
Object Detection (Q)
|
92% |
4473
357.1 IPS |
|
|
Face Detection (SP)
|
100% |
15143
179.9 IPS |
|
|
Face Detection (HP)
|
100% |
18223
216.5 IPS |
|
|
Face Detection (Q)
|
100% |
12952
153.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22483
173.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24690
190.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
24787
191.7 IPS |
|
|
Style Transfer (SP)
|
100% |
76966
98.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86420
111.1 IPS |
|
|
Style Transfer (Q)
|
100% |
85170
109.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13734
507.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15080
556.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10795
399.9 IPS |
|
|
Text Classification (SP)
|
100% |
518
691.2 IPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
878
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1733
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1966
34.0 IPS |
