MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2422
Single Precision Score
2524
Half Precision Score
1557
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | vincent_zh |
| Upload Date | February 11 2025 10:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.3 (Build 23D56) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
1286
239.1 IPS |
|
|
Image Classification (Q)
|
97% |
577
107.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
916
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
712
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8229
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
12837
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
7642
8.96 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.1 IPS |
|
|
Object Detection (HP)
|
98% |
1471
117.1 IPS |
|
|
Object Detection (Q)
|
94% |
650
51.9 IPS |
|
|
Face Detection (SP)
|
100% |
2262
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
2145
25.5 IPS |
|
|
Face Detection (Q)
|
100% |
859
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4504
34.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4658
36.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
2463
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13091
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14781
19.0 IPS |
|
|
Style Transfer (Q)
|
96% |
9602
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3588
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2607
96.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1456
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.3 IPS |
|
|
Text Classification (HP)
|
100% |
613
818.1 IPS |
|
|
Text Classification (Q)
|
93% |
611
819.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2137
36.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2287
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2271
39.2 IPS |
