MacBook Pro (16-inch, 2023)
Geekbench AI Score
3779
Single Precision Score
27105
Half Precision Score
30264
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | March 05 2025 07:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 3.32 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
14509
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
18016
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19919
322.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24297
393.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12380
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
107396
125.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106212
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
1731
137.3 IPS |
|
|
Object Detection (HP)
|
99% |
16103
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
17854
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3522
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
35984
427.6 IPS |
|
|
Face Detection (Q)
|
100% |
43914
521.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6181
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
88264
680.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110595
864.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12311
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
207194
266.4 IPS |
|
|
Style Transfer (Q)
|
96% |
195310
252.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4963
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42374
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51200
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3919
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4080
70.5 IPS |
