MacBook Pro (16-inch, 2021)
Geekbench AI Score
3597
Single Precision Score
15916
Half Precision Score
15338
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | barmanracing |
| Upload Date | January 27 2026 07:33 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
6229
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5893
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9053
146.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9604
155.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10458
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67200
78.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
62865
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7014
558.0 IPS |
|
|
Object Detection (Q)
|
91% |
6709
536.0 IPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
12955
153.9 IPS |
|
|
Face Detection (Q)
|
100% |
12582
149.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5718
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45206
348.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
46474
363.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22225
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
118474
152.3 IPS |
|
|
Style Transfer (Q)
|
96% |
109704
141.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4147
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24812
916.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25723
949.8 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3967
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2904
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5709
98.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4612
79.7 IPS |
