MacBook Pro (16-inch, 2021)
Geekbench AI Score
3669
Single Precision Score
5734
Half Precision Score
4666
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | vincentlee |
| Upload Date | March 12 2025 01:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1316
244.8 IPS |
|
|
Image Classification (HP)
|
100% |
2005
373.0 IPS |
|
|
Image Classification (Q)
|
96% |
1475
275.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2627
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10876
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21399
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17004
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2350
187.1 IPS |
|
|
Object Detection (Q)
|
94% |
1722
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5344
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3086
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5795
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10488
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6976
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21034
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33752
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26361
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6371
235.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4041
149.2 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4080
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3285
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3378
58.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4698
81.2 IPS |
