MacBook Pro (16-inch, 2023)
Geekbench AI Score
4094
Single Precision Score
27526
Half Precision Score
30526
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 01:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1364
253.6 IPS |
|
|
Image Classification (HP)
|
100% |
15118
2.81 KIPS |
|
|
Image Classification (Q)
|
96% |
17447
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20142
326.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24980
404.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11947
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
105874
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104270
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1636
129.7 IPS |
|
|
Object Detection (HP)
|
99% |
15636
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17091
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3600
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
36094
428.9 IPS |
|
|
Face Detection (Q)
|
100% |
47257
561.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6121
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
88577
682.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109260
853.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25565
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205557
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
192362
248.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4940
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43880
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49733
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2500
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4163
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4214
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4341
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4127
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4347
75.1 IPS |
