MacBook Pro (16-inch, 2023)
Geekbench AI Score
4151
Single Precision Score
27196
Half Precision Score
30920
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 28 2024 05:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
13869
2.58 KIPS |
|
|
Image Classification (Q)
|
96% |
17091
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19505
316.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24522
397.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12923
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105920
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103923
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.7 IPS |
|
|
Object Detection (HP)
|
99% |
15270
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17277
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
35545
422.4 IPS |
|
|
Face Detection (Q)
|
100% |
45400
539.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6401
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87429
673.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
108551
848.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24700
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204480
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
190720
246.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5107
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41051
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48508
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2334
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3958
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4418
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4873
83.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5882
101.7 IPS |
