MacBook Pro (16-inch, 2023)
Geekbench AI Score
11056
Single Precision Score
11767
Half Precision Score
10631
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | tangovictor |
| Upload Date | November 18 2024 10:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5403
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5628
1.05 KIPS |
|
|
Image Classification (Q)
|
97% |
4704
877.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8219
133.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8195
132.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8124
131.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
44973
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47669
55.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
44314
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
5031
399.1 IPS |
|
|
Object Detection (HP)
|
100% |
5128
406.7 IPS |
|
|
Object Detection (Q)
|
91% |
4337
346.6 IPS |
|
|
Face Detection (SP)
|
100% |
18077
214.8 IPS |
|
|
Face Detection (HP)
|
100% |
19621
233.1 IPS |
|
|
Face Detection (Q)
|
100% |
13528
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25977
200.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27018
208.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
22373
174.9 IPS |
|
|
Style Transfer (SP)
|
100% |
79992
102.8 IPS |
|
|
Style Transfer (HP)
|
100% |
85767
110.3 IPS |
|
|
Style Transfer (Q)
|
96% |
79980
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17632
651.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18606
687.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15274
564.0 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3973
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1719
29.7 IPS |
