MacBook Pro (16-inch, 2021)
Geekbench AI Score
12303
Single Precision Score
13383
Half Precision Score
12392
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 01 2025 07:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
5115
951.2 IPS |
|
|
Image Classification (HP)
|
100% |
5075
943.8 IPS |
|
|
Image Classification (Q)
|
96% |
4729
883.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11814
191.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12184
197.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11593
187.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
57120
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62132
72.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59577
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
5173
410.4 IPS |
|
|
Object Detection (HP)
|
100% |
5366
425.6 IPS |
|
|
Object Detection (Q)
|
92% |
4942
394.5 IPS |
|
|
Face Detection (SP)
|
100% |
21578
256.4 IPS |
|
|
Face Detection (HP)
|
100% |
22618
268.8 IPS |
|
|
Face Detection (Q)
|
100% |
19330
229.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26228
202.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27991
215.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
25895
202.3 IPS |
|
|
Style Transfer (SP)
|
100% |
96866
124.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121908
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114611
147.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16499
609.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17654
651.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15661
578.3 IPS |
|
|
Text Classification (SP)
|
100% |
2424
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4225
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2030
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1582
27.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1394
24.1 IPS |
