MacBook Pro (16-inch, 2021)
Geekbench AI Score
3472
Single Precision Score
14016
Half Precision Score
13937
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | victoriggy |
| Upload Date | February 14 2026 11:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1236
229.9 IPS |
|
|
Image Classification (HP)
|
100% |
5653
1.05 KIPS |
|
|
Image Classification (Q)
|
96% |
5538
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7881
127.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8882
144.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9939
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
69071
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65521
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
99% |
6548
520.9 IPS |
|
|
Object Detection (Q)
|
91% |
6156
491.9 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
12613
149.9 IPS |
|
|
Face Detection (Q)
|
100% |
11895
141.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5515
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44611
343.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
45631
356.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21378
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
115918
149.0 IPS |
|
|
Style Transfer (Q)
|
96% |
110008
142.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4059
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23954
884.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25061
925.4 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4077
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2891
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2281
39.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2325
40.2 IPS |
