MacBook Pro (16-inch, 2021)
Geekbench AI Score
3639
Single Precision Score
10667
Half Precision Score
14402
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | rjoanglin |
| Upload Date | November 22 2025 11:41 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
2187
406.6 IPS |
|
|
Image Classification (Q)
|
96% |
6064
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9286
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10497
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67334
78.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65444
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
99% |
7082
563.4 IPS |
|
|
Object Detection (Q)
|
91% |
6365
508.6 IPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
12537
149.0 IPS |
|
|
Face Detection (Q)
|
100% |
11708
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5666
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45760
352.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
46827
365.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22073
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117251
150.7 IPS |
|
|
Style Transfer (Q)
|
96% |
104672
135.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24192
893.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26827
990.6 IPS |
|
|
Text Classification (SP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4210
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4195
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2536
43.8 IPS |
