MacBook Pro (14-inch, 2023)
Geekbench AI Score
12068
Single Precision Score
13205
Half Precision Score
11571
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | May 31 2025 01:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5428
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5469
1.02 KIPS |
|
|
Image Classification (Q)
|
96% |
5168
965.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9157
148.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9212
149.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8757
142.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
44715
52.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
48672
56.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
47262
55.4 IPS |
|
|
Object Detection (SP)
|
100% |
5096
404.3 IPS |
|
|
Object Detection (HP)
|
100% |
5008
397.2 IPS |
|
|
Object Detection (Q)
|
92% |
4610
368.0 IPS |
|
|
Face Detection (SP)
|
100% |
18276
217.2 IPS |
|
|
Face Detection (HP)
|
100% |
19773
234.9 IPS |
|
|
Face Detection (Q)
|
100% |
16103
191.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25838
199.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27237
209.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
24815
193.8 IPS |
|
|
Style Transfer (SP)
|
100% |
80138
103.0 IPS |
|
|
Style Transfer (HP)
|
100% |
86827
111.6 IPS |
|
|
Style Transfer (Q)
|
96% |
84634
109.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17585
649.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18853
696.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16377
604.7 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4091
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4071
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3683
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1936
33.4 IPS |
