MacBook Pro (16-inch, 2021)
Geekbench AI Score
3644
Single Precision Score
16486
Half Precision Score
16208
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Lordwombat |
| Upload Date | July 15 2025 09:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
6818
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6166
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9600
155.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10115
164.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10904
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
71589
83.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67923
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
8049
640.2 IPS |
|
|
Object Detection (Q)
|
91% |
7479
597.6 IPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
15735
187.0 IPS |
|
|
Face Detection (Q)
|
100% |
14691
174.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5637
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52028
400.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53703
419.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21812
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121996
156.8 IPS |
|
|
Style Transfer (Q)
|
96% |
117490
151.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4388
162.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26154
965.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28337
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3943
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3814
65.9 IPS |
