MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
9199
Single Precision Score
9919
Half Precision Score
3127
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jeanchrijaz |
| Upload Date | September 10 2024 02:29 AM |
| Views | 5 |
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% |
5095
947.6 IPS |
|
|
Image Classification (HP)
|
100% |
5411
1.01 KIPS |
|
|
Image Classification (Q)
|
97% |
4071
759.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6808
110.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8244
133.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8447
136.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
34869
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36805
42.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
33796
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
5261
417.3 IPS |
|
|
Object Detection (HP)
|
100% |
5535
439.1 IPS |
|
|
Object Detection (Q)
|
92% |
4422
353.0 IPS |
|
|
Face Detection (SP)
|
100% |
14900
177.0 IPS |
|
|
Face Detection (HP)
|
100% |
18019
214.1 IPS |
|
|
Face Detection (Q)
|
100% |
12959
154.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22763
175.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24635
189.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
152.1 IPS |
|
|
Style Transfer (SP)
|
100% |
77177
99.2 IPS |
|
|
Style Transfer (HP)
|
100% |
86108
110.7 IPS |
|
|
Style Transfer (Q)
|
96% |
80211
103.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13707
506.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14770
545.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11021
407.0 IPS |
|
|
Text Classification (SP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
692
928.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2195
37.9 IPS |
