MacBook Pro (16-inch, 2021)
Geekbench AI Score
3569
Single Precision Score
14841
Half Precision Score
14620
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 12:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
6328
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6068
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8494
137.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9000
145.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10303
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70026
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66648
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
99% |
7129
567.1 IPS |
|
|
Object Detection (Q)
|
91% |
6689
534.4 IPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
13248
157.4 IPS |
|
|
Face Detection (Q)
|
100% |
12552
149.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5576
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47989
369.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
48990
382.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21861
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119784
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112995
145.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25318
934.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26249
969.3 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2962
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2520
43.5 IPS |
