MacBook Pro (16-inch, 2021)
Geekbench AI Score
13340
Single Precision Score
15045
Half Precision Score
13203
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 20 2026 02:59 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5184
964.1 IPS |
|
|
Image Classification (HP)
|
100% |
5245
975.4 IPS |
|
|
Image Classification (Q)
|
94% |
4963
927.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
11885
192.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12218
198.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11607
188.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
57126
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
62201
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59417
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
5181
410.9 IPS |
|
|
Object Detection (HP)
|
100% |
5490
435.5 IPS |
|
|
Object Detection (Q)
|
91% |
5161
412.5 IPS |
|
|
Face Detection (SP)
|
100% |
22247
264.3 IPS |
|
|
Face Detection (HP)
|
100% |
23350
277.4 IPS |
|
|
Face Detection (Q)
|
100% |
21299
253.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26849
206.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
28770
221.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
26389
206.3 IPS |
|
|
Style Transfer (SP)
|
100% |
97406
125.2 IPS |
|
|
Style Transfer (HP)
|
100% |
122159
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
118983
153.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16884
623.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17651
651.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15810
583.8 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4353
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4248
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4100
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4309
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2029
35.1 IPS |
