MacBook Pro (16-inch, 2021)
Geekbench AI Score
3856
Single Precision Score
16436
Half Precision Score
16107
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | BGS |
| Upload Date | April 10 2026 11:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1333
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
6618
1.23 KIPS |
|
|
Image Classification (Q)
|
97% |
6348
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9272
150.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10043
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10291
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69001
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
64660
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (HP)
|
99% |
7594
604.1 IPS |
|
|
Object Detection (Q)
|
89% |
7042
563.7 IPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
14510
172.4 IPS |
|
|
Face Detection (Q)
|
100% |
13860
164.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5696
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
49469
381.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
52185
408.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21953
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121284
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
113514
146.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4028
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25788
952.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26811
990.0 IPS |
|
|
Text Classification (SP)
|
99% |
4331
5.78 KIPS |
|
|
Text Classification (HP)
|
100% |
6997
9.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6605
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2849
49.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2786
48.2 IPS |
