MacBook Pro (16-inch, 2021)
Geekbench AI Score
2096
Single Precision Score
12800
Half Precision Score
13190
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | edoardo_scarpel |
| Upload Date | August 18 2024 02:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
971
180.6 IPS |
|
|
Image Classification (HP)
|
100% |
7142
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7539
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3866
62.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3875
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10133
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
68422
79.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
65219
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (HP)
|
99% |
7531
599.1 IPS |
|
|
Object Detection (Q)
|
93% |
7217
575.9 IPS |
|
|
Face Detection (SP)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
11273
133.9 IPS |
|
|
Face Detection (Q)
|
100% |
11376
135.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3643
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46257
356.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
48725
376.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12094
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
116661
150.0 IPS |
|
|
Style Transfer (Q)
|
100% |
121693
156.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2207
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18618
687.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23345
864.9 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3402
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2173
37.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2165
37.4 IPS |
