MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11816
Single Precision Score
13912
Half Precision Score
12322
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mmolina |
| Upload Date | January 30 2025 12:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
6040
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6480
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
5468
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7548
122.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10021
162.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10487
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
45389
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48285
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45684
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
6018
477.3 IPS |
|
|
Object Detection (HP)
|
100% |
6573
521.4 IPS |
|
|
Object Detection (Q)
|
91% |
5357
428.1 IPS |
|
|
Face Detection (SP)
|
100% |
17156
203.9 IPS |
|
|
Face Detection (HP)
|
100% |
21243
252.4 IPS |
|
|
Face Detection (Q)
|
100% |
16246
193.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27352
210.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
30259
233.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
25616
200.2 IPS |
|
|
Style Transfer (SP)
|
100% |
92958
119.5 IPS |
|
|
Style Transfer (HP)
|
100% |
105839
136.1 IPS |
|
|
Style Transfer (Q)
|
96% |
98807
127.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14961
552.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16360
604.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12305
454.4 IPS |
|
|
Text Classification (SP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4809
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4786
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2331
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2375
41.0 IPS |
