MacBook Pro (16-inch, 2021)
Geekbench AI Score
3498
Single Precision Score
14491
Half Precision Score
14195
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | December 27 2025 12:27 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 25D5087f) |
| 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% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
6102
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5948
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1497
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8688
140.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8381
135.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9787
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
69149
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65466
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
99% |
6870
546.5 IPS |
|
|
Object Detection (Q)
|
91% |
6317
504.8 IPS |
|
|
Face Detection (SP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
12140
144.2 IPS |
|
|
Face Detection (Q)
|
100% |
12455
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5548
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46808
360.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47213
368.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21552
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
117540
151.1 IPS |
|
|
Style Transfer (Q)
|
96% |
113636
146.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4116
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25273
933.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26060
962.3 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4002
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3886
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2903
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2401
41.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2382
41.2 IPS |
