MacBook Pro (16-inch, 2021)
Geekbench AI Score
3692
Single Precision Score
16564
Half Precision Score
16523
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | austinh |
| Upload Date | July 28 2025 10:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
6919
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6708
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9701
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10444
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11099
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70439
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66750
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
8036
639.2 IPS |
|
|
Object Detection (Q)
|
91% |
7564
604.4 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
16121
191.6 IPS |
|
|
Face Detection (Q)
|
100% |
15160
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5778
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51575
397.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
54282
424.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21937
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121956
156.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116342
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4417
163.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26482
977.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28603
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4083
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4065
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3852
66.6 IPS |
