MacBook Pro (16-inch, 2023)
Geekbench AI Score
4163
Single Precision Score
6751
Half Precision Score
5306
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | bkr899 |
| Upload Date | November 09 2024 09:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
2262
420.7 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2567
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2953
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12920
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25830
30.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19111
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (HP)
|
97% |
2710
215.8 IPS |
|
|
Object Detection (Q)
|
94% |
2021
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
5856
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3384
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6382
49.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12159
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8216
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24858
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39086
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30496
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5115
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6898
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4466
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3968
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4609
79.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6324
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6237
107.8 IPS |
