MacBook Pro (16-inch, 2021)
Geekbench AI Score
3623
Single Precision Score
15418
Half Precision Score
15111
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 20 2026 03:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
6485
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
6142
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9084
147.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9613
155.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10558
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
69333
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65546
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
7364
585.8 IPS |
|
|
Object Detection (Q)
|
91% |
6780
541.8 IPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
14012
166.5 IPS |
|
|
Face Detection (Q)
|
100% |
13293
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48331
372.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
48986
382.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22147
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
116918
150.3 IPS |
|
|
Style Transfer (Q)
|
96% |
112035
144.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4150
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25392
937.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26756
988.0 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4351
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4229
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2886
49.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2867
49.5 IPS |
