MacBook Pro (14-inch, 2023)
Geekbench AI Score
4143
Single Precision Score
26581
Half Precision Score
29685
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | December 03 2024 07:01 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
14682
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
16753
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19442
315.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24337
394.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12771
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
105997
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104157
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1675
132.9 IPS |
|
|
Object Detection (HP)
|
99% |
15143
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17131
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3636
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
35218
418.5 IPS |
|
|
Face Detection (Q)
|
100% |
44988
534.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6425
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87327
672.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108283
846.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24731
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204655
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192553
248.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5040
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41047
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50839
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3930
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4476
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3798
65.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3898
67.4 IPS |
