MacBook Pro (16-inch, 2023)
Geekbench AI Score
4170
Single Precision Score
27026
Half Precision Score
30001
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | bkr899 |
| Upload Date | November 09 2024 09:08 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 (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% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
14158
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
16812
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19373
314.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23792
385.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12884
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
105652
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
103770
121.6 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
99% |
15146
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16560
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
34966
415.5 IPS |
|
|
Face Detection (Q)
|
100% |
43080
511.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6271
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87827
676.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
109405
855.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24841
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203752
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
189830
245.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5144
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40844
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48828
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3963
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4598
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4608
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4965
85.8 IPS |
