MacBook Pro (16-inch, 2021)
Geekbench AI Score
8598
Single Precision Score
9672
Half Precision Score
8876
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | marcussiemens |
| Upload Date | October 04 2025 06:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.15 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4144
770.7 IPS |
|
|
Image Classification (HP)
|
100% |
4653
865.4 IPS |
|
|
Image Classification (Q)
|
96% |
3850
718.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7377
119.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7673
124.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7319
118.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32868
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36014
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34933
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
4083
323.9 IPS |
|
|
Object Detection (HP)
|
100% |
4251
337.2 IPS |
|
|
Object Detection (Q)
|
92% |
3945
314.9 IPS |
|
|
Face Detection (SP)
|
100% |
14417
171.3 IPS |
|
|
Face Detection (HP)
|
100% |
15246
181.2 IPS |
|
|
Face Detection (Q)
|
100% |
13091
155.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20462
157.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19576
150.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18042
140.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54031
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
65270
83.9 IPS |
|
|
Style Transfer (Q)
|
96% |
63445
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11110
410.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11896
439.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10173
375.6 IPS |
|
|
Text Classification (SP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4235
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4288
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1196
20.7 IPS |
