MacBook Pro (16-inch, 2021)
Geekbench AI Score
3713
Single Precision Score
16292
Half Precision Score
16261
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zedwarth |
| Upload Date | March 08 2025 09:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
6740
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6658
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9705
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10380
168.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11134
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70086
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66828
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
99% |
7891
627.7 IPS |
|
|
Object Detection (Q)
|
91% |
7412
592.2 IPS |
|
|
Face Detection (SP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
15892
188.8 IPS |
|
|
Face Detection (Q)
|
100% |
14332
170.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5863
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51249
394.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53283
416.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22293
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120367
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115738
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4322
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25892
956.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27871
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3830
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3973
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3296
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3748
64.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3860
66.7 IPS |
