MacBook Pro (14-inch, 2023)
Geekbench AI Score
10375
Single Precision Score
11550
Half Precision Score
10376
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 05:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5179
963.2 IPS |
|
|
Image Classification (HP)
|
100% |
5390
1.00 KIPS |
|
|
Image Classification (Q)
|
97% |
4543
847.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8030
130.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8049
130.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8002
129.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
45061
52.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
47462
55.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
44154
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
4932
391.2 IPS |
|
|
Object Detection (HP)
|
100% |
5057
401.1 IPS |
|
|
Object Detection (Q)
|
91% |
4310
344.4 IPS |
|
|
Face Detection (SP)
|
100% |
18036
214.3 IPS |
|
|
Face Detection (HP)
|
100% |
19326
229.6 IPS |
|
|
Face Detection (Q)
|
100% |
13721
163.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25673
197.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26593
204.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
22129
172.9 IPS |
|
|
Style Transfer (SP)
|
100% |
79769
102.5 IPS |
|
|
Style Transfer (HP)
|
100% |
85446
109.8 IPS |
|
|
Style Transfer (Q)
|
96% |
79728
102.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17130
632.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17949
662.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14940
551.7 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3815
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3799
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1350
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1523
26.3 IPS |
