MacBook Pro (14-inch, 2023)
Geekbench AI Score
3162
Single Precision Score
4807
Half Precision Score
4151
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | aeonsim |
| Upload Date | September 08 2024 09:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1480
275.2 IPS |
|
|
Image Classification (HP)
|
100% |
1834
341.0 IPS |
|
|
Image Classification (Q)
|
96% |
1424
265.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1305
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1851
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6270
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
14908
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12856
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
97% |
2238
178.2 IPS |
|
|
Object Detection (Q)
|
94% |
1723
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
4392
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
2878
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5488
42.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8609
66.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6537
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16868
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26708
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22424
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3675
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3725
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3692
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2136
36.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4550
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4545
78.5 IPS |
