MacBook Pro (16-inch, 2023)
Geekbench AI Score
4159
Single Precision Score
21429
Half Precision Score
23716
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 19 2024 11:04 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
15445
2.87 KIPS |
|
|
Image Classification (Q)
|
99% |
17616
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9160
148.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
9387
152.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12923
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102919
120.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
97697
114.6 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (HP)
|
99% |
13722
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
16726
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
23709
281.7 IPS |
|
|
Face Detection (Q)
|
100% |
36652
435.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6241
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73844
568.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
82556
638.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24517
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
156056
200.6 IPS |
|
|
Style Transfer (Q)
|
100% |
156707
201.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5101
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42039
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49253
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4636
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2294
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2307
39.9 IPS |
