MacBook Pro (16-inch, 2021)
Geekbench AI Score
13909
Single Precision Score
15315
Half Precision Score
14351
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | BGS |
| Upload Date | April 10 2026 11:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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% |
5077
944.2 IPS |
|
|
Image Classification (HP)
|
100% |
5010
931.6 IPS |
|
|
Image Classification (Q)
|
94% |
4739
885.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11626
188.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11909
193.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11372
184.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56892
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
62139
72.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
58858
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
5041
399.8 IPS |
|
|
Object Detection (HP)
|
100% |
5201
412.5 IPS |
|
|
Object Detection (Q)
|
91% |
5004
399.9 IPS |
|
|
Face Detection (SP)
|
100% |
21783
258.8 IPS |
|
|
Face Detection (HP)
|
100% |
22777
270.6 IPS |
|
|
Face Detection (Q)
|
100% |
20760
246.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26347
203.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27975
215.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
25747
201.3 IPS |
|
|
Style Transfer (SP)
|
100% |
97023
124.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122100
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
118902
153.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16299
601.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17041
629.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15307
565.2 IPS |
|
|
Text Classification (SP)
|
99% |
4325
5.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6690
8.93 KIPS |
|
|
Text Classification (Q)
|
92% |
6592
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4080
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4153
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3642
62.9 IPS |
