MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10976
Single Precision Score
12942
Half Precision Score
11453
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jeeerim |
| Upload Date | December 05 2024 05:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6014
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6369
1.18 KIPS |
|
|
Image Classification (Q)
|
97% |
5419
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7376
119.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9971
161.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10409
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
45347
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48315
56.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45656
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
5966
473.2 IPS |
|
|
Object Detection (HP)
|
100% |
6430
510.0 IPS |
|
|
Object Detection (Q)
|
91% |
5475
437.5 IPS |
|
|
Face Detection (SP)
|
100% |
17056
202.7 IPS |
|
|
Face Detection (HP)
|
100% |
21513
255.6 IPS |
|
|
Face Detection (Q)
|
100% |
16233
192.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26995
208.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29825
229.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
25051
195.8 IPS |
|
|
Style Transfer (SP)
|
100% |
92123
118.4 IPS |
|
|
Style Transfer (HP)
|
100% |
106001
136.3 IPS |
|
|
Style Transfer (Q)
|
96% |
98387
127.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15126
558.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16332
603.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13111
484.1 IPS |
|
|
Text Classification (SP)
|
100% |
2842
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4925
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4877
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1077
18.6 IPS |
