MacBook Pro (16-inch, 2021)
Geekbench AI Score
3685
Single Precision Score
16538
Half Precision Score
16507
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ddtdanilo |
| Upload Date | July 12 2025 04:48 PM |
| Views | 2 |
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% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
6933
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6669
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9693
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10442
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11091
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
72303
84.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67880
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
99% |
8003
636.7 IPS |
|
|
Object Detection (Q)
|
91% |
7537
602.3 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
16091
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15044
178.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5828
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52036
400.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53840
420.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21884
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120262
154.6 IPS |
|
|
Style Transfer (Q)
|
96% |
117754
152.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4305
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26097
963.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28244
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4048
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4041
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3701
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3875
67.0 IPS |
