MacBook Pro (16-inch, 2021)
Geekbench AI Score
8551
Single Precision Score
9323
Half Precision Score
8698
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | uladzislau_dzerzh |
| Upload Date | April 13 2025 01:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
4001
744.1 IPS |
|
|
Image Classification (HP)
|
100% |
4044
752.0 IPS |
|
|
Image Classification (Q)
|
96% |
3774
704.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7325
118.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7425
120.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7052
114.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32787
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34858
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
33584
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
3952
313.5 IPS |
|
|
Object Detection (HP)
|
100% |
4093
324.6 IPS |
|
|
Object Detection (Q)
|
92% |
3800
303.3 IPS |
|
|
Face Detection (SP)
|
100% |
13737
163.2 IPS |
|
|
Face Detection (HP)
|
100% |
14602
173.5 IPS |
|
|
Face Detection (Q)
|
100% |
12546
149.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19774
152.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18662
143.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
17136
134.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53819
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63823
82.0 IPS |
|
|
Style Transfer (Q)
|
96% |
62548
80.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10657
393.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11206
413.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9729
359.3 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1411
24.4 IPS |
