MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2153
Single Precision Score
11465
Half Precision Score
12568
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | riverscn |
| Upload Date | September 18 2024 01:33 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.72 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1145
213.0 IPS |
|
|
Image Classification (HP)
|
100% |
6548
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
7235
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5507
89.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
5587
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7761
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
79273
92.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
82311
96.5 IPS |
|
|
Object Detection (SP)
|
100% |
1182
93.7 IPS |
|
|
Object Detection (HP)
|
100% |
7770
616.3 IPS |
|
|
Object Detection (Q)
|
93% |
8718
695.6 IPS |
|
|
Face Detection (SP)
|
100% |
1728
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
10668
126.8 IPS |
|
|
Face Detection (Q)
|
100% |
12480
148.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3839
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
49050
377.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
54349
420.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11193
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
130752
168.1 IPS |
|
|
Style Transfer (Q)
|
100% |
133000
171.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3282
121.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18331
676.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22108
819.1 IPS |
|
|
Text Classification (SP)
|
100% |
680
908.0 IPS |
|
|
Text Classification (HP)
|
100% |
617
823.3 IPS |
|
|
Text Classification (Q)
|
93% |
750
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2267
39.2 IPS |
