MacBook Pro (16-inch, 2021)
Geekbench AI Score
8657
Single Precision Score
9167
Half Precision Score
8401
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 09:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
4174
776.2 IPS |
|
|
Image Classification (HP)
|
100% |
4250
790.4 IPS |
|
|
Image Classification (Q)
|
97% |
3584
668.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6411
103.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6558
106.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6532
105.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32906
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34998
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32459
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
4046
320.9 IPS |
|
|
Object Detection (HP)
|
100% |
4209
333.8 IPS |
|
|
Object Detection (Q)
|
91% |
3503
279.9 IPS |
|
|
Face Detection (SP)
|
100% |
14125
167.8 IPS |
|
|
Face Detection (HP)
|
100% |
14946
177.6 IPS |
|
|
Face Detection (Q)
|
100% |
10722
127.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20125
155.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21060
162.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
17398
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53767
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
63836
82.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59853
77.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11124
410.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11489
424.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9019
333.0 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1695
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1639
28.3 IPS |
