MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4095
Single Precision Score
24933
Half Precision Score
27815
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | aarcot100 |
| Upload Date | August 19 2024 12:55 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1586
295.0 IPS |
|
|
Image Classification (HP)
|
100% |
16775
3.12 KIPS |
|
|
Image Classification (Q)
|
99% |
17661
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1872
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13847
224.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
13897
225.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8459
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
116609
136.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
117561
137.9 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
15969
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
20541
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3547
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
24699
293.5 IPS |
|
|
Face Detection (Q)
|
100% |
39191
465.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7165
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82272
633.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
92870
718.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22148
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
168061
216.0 IPS |
|
|
Style Transfer (Q)
|
100% |
168306
216.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5271
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45559
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55083
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2843
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4936
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4942
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2795
48.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2805
48.5 IPS |
