MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8060
Single Precision Score
9743
Half Precision Score
8287
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 02:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4336
806.3 IPS |
|
|
Image Classification (HP)
|
100% |
4676
869.6 IPS |
|
|
Image Classification (Q)
|
97% |
3495
652.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4385
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5984
97.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6259
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25098
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26592
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24901
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
4444
352.5 IPS |
|
|
Object Detection (HP)
|
100% |
4891
388.0 IPS |
|
|
Object Detection (Q)
|
91% |
3839
306.7 IPS |
|
|
Face Detection (SP)
|
100% |
11756
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
14835
176.3 IPS |
|
|
Face Detection (Q)
|
100% |
10690
127.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18619
143.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20536
158.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
16429
128.4 IPS |
|
|
Style Transfer (SP)
|
100% |
51881
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
60320
77.5 IPS |
|
|
Style Transfer (Q)
|
96% |
56566
73.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11067
408.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11873
438.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9213
340.2 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5097
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5122
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1560
27.0 IPS |
