MacBook Pro (16-inch, 2021)
Geekbench AI Score
3730
Single Precision Score
15751
Half Precision Score
15676
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 12:24 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1279
237.9 IPS |
|
|
Image Classification (HP)
|
100% |
6440
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6239
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9562
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10066
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11161
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69524
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65209
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
99% |
7478
594.9 IPS |
|
|
Object Detection (Q)
|
91% |
7065
564.5 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
14815
176.0 IPS |
|
|
Face Detection (Q)
|
100% |
13951
165.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5965
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50093
385.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
52276
408.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22380
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118767
152.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115187
148.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25829
953.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27770
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3939
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3287
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3371
58.3 IPS |
