MacBook Pro (16-inch, 2023)
Geekbench AI Score
2335
Single Precision Score
14931
Half Precision Score
16758
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | NicoNRG |
| Upload Date | September 10 2024 07:05 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1122
208.6 IPS |
|
|
Image Classification (HP)
|
100% |
7732
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
7959
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5120
83.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8723
141.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11160
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92686
108.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
87133
102.1 IPS |
|
|
Object Detection (SP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (HP)
|
99% |
9208
732.5 IPS |
|
|
Object Detection (Q)
|
93% |
10039
801.0 IPS |
|
|
Face Detection (SP)
|
100% |
2027
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
11599
137.8 IPS |
|
|
Face Detection (Q)
|
100% |
13516
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3749
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55444
427.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
67300
525.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13172
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
145025
186.4 IPS |
|
|
Style Transfer (Q)
|
95% |
133409
172.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2073
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20572
759.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28125
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3751
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3743
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1939
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2252
38.9 IPS |
