MacBook Pro (14-inch, 2023)
Geekbench AI Score
4174
Single Precision Score
27034
Half Precision Score
30683
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 11:48 AM |
| Views | 3 |
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 (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
14198
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
17395
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19551
316.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24706
400.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12703
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106284
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104209
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (HP)
|
99% |
15481
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17907
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3640
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
35399
420.6 IPS |
|
|
Face Detection (Q)
|
100% |
45793
544.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6324
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87820
676.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
110059
860.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25007
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204568
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
192734
248.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5139
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41260
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50241
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3956
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4548
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4305
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4777
82.6 IPS |
