MacBook Pro (16-inch, 2021)
Geekbench AI Score
3566
Single Precision Score
16119
Half Precision Score
15950
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | khizarrshahidd |
| Upload Date | December 05 2025 06:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1256
233.7 IPS |
|
|
Image Classification (HP)
|
100% |
6249
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
6022
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9290
150.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10038
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10462
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69488
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65366
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.3 IPS |
|
|
Object Detection (HP)
|
99% |
7254
577.0 IPS |
|
|
Object Detection (Q)
|
91% |
6797
543.1 IPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
13343
158.5 IPS |
|
|
Face Detection (Q)
|
100% |
12677
150.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5658
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47260
364.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47995
375.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22044
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
117330
150.8 IPS |
|
|
Style Transfer (Q)
|
96% |
112358
145.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4087
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24749
913.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25806
952.9 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4169
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4139
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2888
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5302
91.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5434
93.9 IPS |
