MacBook Pro (16-inch, 2023)
Geekbench AI Score
11237
Single Precision Score
12473
Half Precision Score
10170
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | December 29 2024 01:29 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5593
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
5752
1.07 KIPS |
|
|
Image Classification (Q)
|
97% |
4861
907.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8271
134.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8396
136.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8114
131.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
44968
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47795
55.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
44378
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
5113
405.6 IPS |
|
|
Object Detection (HP)
|
100% |
5231
414.9 IPS |
|
|
Object Detection (Q)
|
91% |
4373
349.4 IPS |
|
|
Face Detection (SP)
|
100% |
16427
195.2 IPS |
|
|
Face Detection (HP)
|
100% |
19754
234.7 IPS |
|
|
Face Detection (Q)
|
100% |
13662
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26216
202.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27177
209.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
23003
179.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78277
100.6 IPS |
|
|
Style Transfer (HP)
|
100% |
86188
110.8 IPS |
|
|
Style Transfer (Q)
|
96% |
80489
103.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17986
664.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18938
699.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15363
567.3 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4050
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4043
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2127
36.6 IPS |
|
|
Machine Translation (Q)
|
98% |
985
17.0 IPS |
