MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
9723
Single Precision Score
11142
Half Precision Score
9479
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | bkelly |
| Upload Date | September 23 2024 11:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
5460
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5827
1.08 KIPS |
|
|
Image Classification (Q)
|
97% |
4420
824.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6797
110.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8559
138.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8706
141.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34788
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36745
42.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
34073
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
5460
433.1 IPS |
|
|
Object Detection (HP)
|
100% |
5905
468.4 IPS |
|
|
Object Detection (Q)
|
91% |
4699
375.5 IPS |
|
|
Face Detection (SP)
|
100% |
15730
186.9 IPS |
|
|
Face Detection (HP)
|
100% |
19730
234.4 IPS |
|
|
Face Detection (Q)
|
100% |
13614
161.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22664
174.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24550
189.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19809
154.8 IPS |
|
|
Style Transfer (SP)
|
100% |
76653
98.5 IPS |
|
|
Style Transfer (HP)
|
100% |
86443
111.1 IPS |
|
|
Style Transfer (Q)
|
96% |
80380
103.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14124
521.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15870
586.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10902
402.6 IPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4900
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4885
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
824
14.2 IPS |
