MacBookPro16,4
Geekbench AI Score
4086
Single Precision Score
4062
Half Precision Score
1122
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | Echrei |
| Upload Date | September 26 2025 02:48 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5600M |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| Model | MacBookPro16,4 |
| Model ID | MacBookPro16,4 |
| Motherboard | Apple Inc. Mac-A61BADE1FDAD7B05 MacBookPro16,4 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3122
580.6 IPS |
|
|
Image Classification (HP)
|
100% |
3179
591.2 IPS |
|
|
Image Classification (Q)
|
96% |
126
23.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
24588
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23576
27.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
2559
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
2905
230.5 IPS |
|
|
Object Detection (Q)
|
92% |
128
10.2 IPS |
|
|
Face Detection (SP)
|
100% |
10258
121.9 IPS |
|
|
Face Detection (HP)
|
100% |
10842
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
231
2.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
13283
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12026
92.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11872
92.8 IPS |
|
|
Style Transfer (SP)
|
100% |
45050
57.9 IPS |
|
|
Style Transfer (HP)
|
100% |
44344
57.0 IPS |
|
|
Style Transfer (Q)
|
96% |
65609
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6661
246.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9038
333.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8024
296.3 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.3 IPS |
|
|
Text Classification (HP)
|
100% |
634
846.9 IPS |
|
|
Text Classification (Q)
|
93% |
557
747.0 IPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.36 IPS |
|
|
Machine Translation (Q)
|
98% |
431
7.44 IPS |
