MacBook Pro (16-inch, 2021)
Geekbench AI Score
3624
Single Precision Score
14979
Half Precision Score
15380
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Bogdan_DD |
| Upload Date | September 19 2025 08:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
6216
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6469
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7830
126.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
7845
127.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10467
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
66343
77.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
62766
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
6625
527.0 IPS |
|
|
Object Detection (Q)
|
91% |
6534
522.1 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
10436
124.0 IPS |
|
|
Face Detection (Q)
|
100% |
11569
137.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5710
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41176
317.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
42785
330.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22151
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
115737
148.8 IPS |
|
|
Style Transfer (Q)
|
100% |
117331
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4146
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24461
903.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25572
947.4 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4031
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3019
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5363
92.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5944
102.7 IPS |
