MacBook Pro (16-inch, 2021)
Geekbench AI Score
9937
Single Precision Score
9850
Half Precision Score
2995
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 07 2025 05:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.3.1 (Build 23D60) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4791
891.0 IPS |
|
|
Image Classification (HP)
|
100% |
4541
844.6 IPS |
|
|
Image Classification (Q)
|
99% |
3477
648.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9570
155.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9538
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8877
143.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56138
65.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59061
68.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
50762
59.5 IPS |
|
|
Object Detection (SP)
|
100% |
4939
391.8 IPS |
|
|
Object Detection (HP)
|
100% |
4975
394.7 IPS |
|
|
Object Detection (Q)
|
91% |
3733
298.2 IPS |
|
|
Face Detection (SP)
|
100% |
18829
223.7 IPS |
|
|
Face Detection (HP)
|
100% |
19022
226.0 IPS |
|
|
Face Detection (Q)
|
100% |
12079
143.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25329
195.1 IPS |
|
|
Depth Estimation (HP)
|
82% |
25477
200.5 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
149.5 IPS |
|
|
Style Transfer (SP)
|
100% |
95512
122.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117056
150.5 IPS |
|
|
Style Transfer (Q)
|
96% |
103942
134.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16274
600.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16780
619.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11566
427.1 IPS |
|
|
Text Classification (SP)
|
100% |
1087
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
729
973.1 IPS |
|
|
Text Classification (Q)
|
93% |
727
975.2 IPS |
|
|
Machine Translation (SP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
943
16.3 IPS |
