MacBook Pro (16-inch, 2021)
Geekbench AI Score
12008
Single Precision Score
13460
Half Precision Score
11851
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rubicon |
| Upload Date | January 06 2026 03:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
5105
949.3 IPS |
|
|
Image Classification (HP)
|
100% |
5041
937.6 IPS |
|
|
Image Classification (Q)
|
99% |
5003
933.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
11941
193.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12171
197.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
12039
195.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
57062
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62162
72.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
56765
66.5 IPS |
|
|
Object Detection (SP)
|
100% |
5154
408.8 IPS |
|
|
Object Detection (HP)
|
100% |
5418
429.8 IPS |
|
|
Object Detection (Q)
|
92% |
5031
401.5 IPS |
|
|
Face Detection (SP)
|
100% |
21728
258.2 IPS |
|
|
Face Detection (HP)
|
100% |
22531
267.7 IPS |
|
|
Face Detection (Q)
|
100% |
19273
229.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26306
202.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27736
213.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
12562
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
96630
124.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121634
156.4 IPS |
|
|
Style Transfer (Q)
|
100% |
121524
156.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16704
616.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17522
647.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15409
570.9 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4041
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4057
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1615
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1756
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1728
29.9 IPS |
