MacBook Pro (14-inch, 2023)
Geekbench AI Score
4103
Single Precision Score
6855
Half Precision Score
5487
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | wizard223 |
| Upload Date | October 26 2025 03:25 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1362
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
2258
419.9 IPS |
|
|
Image Classification (Q)
|
96% |
1655
309.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2901
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11899
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26581
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20475
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1657
131.4 IPS |
|
|
Object Detection (HP)
|
97% |
2752
219.1 IPS |
|
|
Object Detection (Q)
|
94% |
1993
158.9 IPS |
|
|
Face Detection (SP)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6098
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3474
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6095
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11821
91.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8117
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25646
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40280
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32142
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4991
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6421
237.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4552
168.1 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7049
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7393
127.8 IPS |
