MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
10913
Single Precision Score
11160
Half Precision Score
3441
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 03:34 PM |
| 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 (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5833
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
6227
1.16 KIPS |
|
|
Image Classification (Q)
|
97% |
4714
879.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7735
125.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9859
159.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10061
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
45600
53.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
48461
56.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
44116
51.7 IPS |
|
|
Object Detection (SP)
|
100% |
5910
468.8 IPS |
|
|
Object Detection (HP)
|
100% |
6232
494.3 IPS |
|
|
Object Detection (Q)
|
92% |
5052
403.2 IPS |
|
|
Face Detection (SP)
|
100% |
16281
193.5 IPS |
|
|
Face Detection (HP)
|
100% |
20138
239.3 IPS |
|
|
Face Detection (Q)
|
100% |
14477
172.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27790
214.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
30411
234.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
200.0 IPS |
|
|
Style Transfer (SP)
|
100% |
93008
119.6 IPS |
|
|
Style Transfer (HP)
|
100% |
106615
137.1 IPS |
|
|
Style Transfer (Q)
|
96% |
98227
126.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15176
560.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16692
616.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12541
463.1 IPS |
|
|
Text Classification (SP)
|
100% |
1508
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
678
904.4 IPS |
|
|
Text Classification (Q)
|
93% |
627
841.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2047
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1971
34.1 IPS |
